About TheLayoffRadar
Methodology
TheLayoffRadar uses an XGBoost machine learning model trained on 2017-2025 data to predict mass layoffs (≥5% workforce reduction) 1-3 months before they're announced.
Features Used
Financial Metrics
- • 6-month stock return
- • YoY revenue growth
- • EPS growth
- • Free cash flow trend
- • Debt/EBITDA ratio
- • Operating margin changes
Leadership Signals
- • CEO changes (last 6 months)
- • CEO tenure < 2 years
- • Executive turnover patterns
Social Signals
- • Twitter rumor volume (60-day)
- • Negative sentiment score
- • Keyword tracking (layoff, cuts, etc.)
Other Indicators
- • Earnings call sentiment
- • Cost-cutting mentions
- • Federal funds rate
- • Sector risk scores
Data Sources
- Polygon.io: Financial data, stock prices
- SEC EDGAR: 8-K filings, CEO changes
- Twitter/X API v2: Social sentiment, rumors
- WARN notices: Ground truth layoff events
- Seeking Alpha: Earnings call transcripts
Contact & Support
For business inquiries, custom analytics, API access, or technical support:
Email:admin@grandnasser.com
Disclaimer
TheLayoffRadar predictions are probabilistic and for informational purposes only. They should not be used as the sole basis for investment or employment decisions. Past performance does not guarantee future results.